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Recombinant Protein Expression in Mammalian Cells

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Cover of 'Recombinant Protein Expression in Mammalian Cells'

Table of Contents

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    Book Overview
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    Chapter 1 Transient Gene Expression in Suspension HEK293-EBNA1 Cells
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    Chapter 2 Transient Expression of Recombinant Membrane-eGFP Fusion Proteins in HEK293 Cells
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    Chapter 3 PEI-Mediated Transient Gene Expression in CHO Cells
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    Chapter 4 Stable Expression by Lentiviral Transduction of Cells
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    Chapter 5 Inducible Protein Production in 293 Cells Using the piggyBac Transposon System
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    Chapter 6 Recombinant CHO Cell Pool Generation Using piggyBac Transposon System
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    Chapter 7 Genome Engineering of Hybridomas to Generate Stable Cell Lines for Antibody Expression
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    Chapter 8 Protein Expression via Transient Transfection of Mammalian Cells in a WAVE Bioreactor
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    Chapter 9 CHO and HEK293 Cultivation and Transfection in Single-Use Orbitally Shaken Bioreactors
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    Chapter 10 Bench-Scale Stirred-Tank Bioreactor for Recombinant Protein Production in Chinese Hamster Ovary (CHO) Cells in Suspension
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    Chapter 11 Continuous and Integrated Expression and Purification of Recombinant Antibodies
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    Chapter 12 High Throughput Transfection of HEK293 Cells for Transient Protein Production
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    Chapter 13 Microfluidic Transfection for High-Throughput Mammalian Protein Expression
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    Chapter 14 Genome-Wide High-Throughput RNAi Screening for Identification of Genes Involved in Protein Production
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    Chapter 15 Targeting miRNAs with CRISPR/Cas9 to Improve Recombinant Protein Production of CHO Cells
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    Chapter 16 Application of the CRISPR/Cas9 Gene Editing Method for Modulating Antibody Fucosylation in CHO Cells
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    Chapter 17 Scalable Production and Purification of Adeno-Associated Viral Vectors (AAV)
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    Chapter 18 Considerations in the Use of Codon Optimization for Recombinant Protein Expression
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    Chapter 19 Versatile Cell-Free Protein Synthesis Systems Based on Chinese Hamster Ovary Cells
Attention for Chapter 14: Genome-Wide High-Throughput RNAi Screening for Identification of Genes Involved in Protein Production
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Chapter title
Genome-Wide High-Throughput RNAi Screening for Identification of Genes Involved in Protein Production
Chapter number 14
Book title
Recombinant Protein Expression in Mammalian Cells
Published in
Methods in molecular biology, September 2018
DOI 10.1007/978-1-4939-8730-6_14
Pubmed ID
Book ISBNs
978-1-4939-8729-0, 978-1-4939-8730-6
Authors

Sarah Inwood, Michael J. Betenbaugh, Madhu Lal, Joseph Shiloach, Inwood, Sarah, Betenbaugh, Michael J., Lal, Madhu, Shiloach, Joseph

Abstract

With an increasing number of blockbuster drugs being recombinant mammalian proteins, protein production platforms that focus on mammalian proteins have had a profound impact in many areas of basic and applied research. Many groups, both academic and industrial, have been focusing on developing cost-effective methods to improve the production of mammalian proteins that would support potential therapeutic applications. As it stands, while a wide range of platforms have been successfully developed for laboratory use, the majority of biologicals are still produced in mammalian cell lines due to the requirement for posttranslational modification and the biosynthetic complexity of target proteins. An unbiased high-throughput RNAi screening approach can be an efficient tool to identify target genes involved in recombinant protein production. Here we describe the process of optimizing the transfection conditions, performing the genome-wide siRNA screen, the activity and cell viability assays and the validation transfection to identify genes involved with protein expression.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 33%
Student > Ph. D. Student 1 17%
Student > Postgraduate 1 17%
Student > Master 1 17%
Unknown 1 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 50%
Chemical Engineering 1 17%
Agricultural and Biological Sciences 1 17%
Unknown 1 17%